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c陷井与缺陷 我自己感觉很不错的一本书 里面的问题很经典(c traps and defects I feel very good in a book inside the problem is very classic)

KMEANSK Performs K-means clustering given a list of feature vectors and k The argument k indicates the number of clusters you want the data to be divided into. data_vecs (N*R) is the set of R dimensional feature vectors for N data points. Each row in data_vecs gives the R dimensional vector for a single data point. Each column in data_vecs refers to values for a particular feature vector for all the N data points. The output data_idxs is a N*1 vector of integers telling which cluster number a particular data point belongs to. It also outputs centroids which is a k*R matrix, where each rows gives the vector for the cluster center. If we want to segment a color image i into 5 clusters using spacial and color information, we can use this function as follows:

Comparison of the performances of the LS and the MMSE channel estimators for a 32 sub carrier OFDM system based on the parameter of Mean square erro

说明：  利用龙格库塔法解布洛赫方程 有较为详细的注释 简单易懂(Solving Bloch Equation by Runge-Kutta Method)

chow算法仿真示意图，给出了源程序和仿真结果。并附有中文解释。(chow algorithm simulation schematic, source code and simulation results are given. With Chinese explanations.)

feedback and control systems

MRI halffourier recon

说明：  最小均方自适应滤波算法（LMS）与归一化最小均方自适应滤波算法（NLMS）的对比(Comparison of Least Mean Square Adaptive Filtering Algorithm (LMS) and Normalized Least Mean Square Adaptive Filtering Algorithm (NLMS))

形状分割，采用指标为短轴与长轴之比，骨架复杂度。效果很好，预处理合理(Shape segmentation, the use of indicators for the short axis and long axis ratio, frame complexity. Good effect, pre-rational)

MATLAB编程书籍，帮助加深对MATLAB的学习和程序应用(MATLAB programming books to help deepen the learning and procedures for application of MATLAB)